RSS Feed - Blog
About: The GPML toolbox is a flexible and generic Octave 3.2.x and Matlab 7.x implementation of inference and prediction in Gaussian Process (GP) models. Changes:We now support inference on large datasets using the FITC approximation for non-Gaussian likelihoods for EP and Laplace's approximation. New likelihood functions: mixture likelihood, Poisson likelihood, label noise. We added two MCMC samplers.
|
Projects authored by carl edward rasmussen.
Search
Manage
Sort by
Filter by
Latest Thoughts
- GSoC 2013
by Cheng Soon Ong on April 9, 2013
- Scientist vs Inventor
by Cheng Soon Ong on March 18, 2013
- Software Licensing
by Cheng Soon Ong on February 6, 2013
- Chemical compound and drug name recognition task.
by Martin Krallinger on January 2, 2013
- Paper "Ten Simple Rules for the Open Development of Scientific Software" by Prlic and Procter
by Mikio Braun on December 11, 2012
- Best Practices for Scientific Computing
by Cheng Soon Ong on November 28, 2012
- Predict Elections with Twitter
by Cheng Soon Ong on October 12, 2012
- John Hunter - the author of matplotlib - has died.
by Soeren Sonnenburg on August 30, 2012
- Machine Learning already matters
by Cheng Soon Ong on June 20, 2012
- Google Summer of Code 2012
by Cheng Soon Ong on April 24, 2012
No forum yet.
